Real time anomalies detection on video

TL;DR

A deep learning approach uses convolutional models (CNN) to extract relevant characteristics linked to the video images, theses characteristics will form times series to be analyzed by LSTM / GRU models.

Abstract

Nowadays, many places use security cameras. Unfortunately, when an incident occurs, these technologies are used to show past events. So it can be considered as a deterrence tool than a detection tool. In this article, we will propose a deep learning approach trying to solve this problematic. This approach uses convolutional models (CNN) to extract relevant characteristics linked to the video images, theses characteristics will form times series to be analyzed by LSTM / GRU models.

Figures (7)

• Figure 1: Illustration of the video generator's functionality medium2024github2024)
• Figure 2: Proposed architecture
• Figure 3: VGG19 architecture surya2023efficacy
• Figure 4: Learning curves for the model Convolutional GRU
• Figure 5: example for the normal class detection.